Unknown

Dataset Information

0

Cancer functional states-based molecular subtypes of gastric cancer.


ABSTRACT:

Background

The treatment of gastric cancer remains a challenge.

Methods

We divided gastric cancer into three subtypes based on 14 cancer functional states. We investigated differences between subtypes through multi-omics data, especially at the single-cell level, which allowed us to analyze differences from the perspective of each type of cell rather than the whole.

Results

The cluster 1 is characterized by high levels of tumor progression-related cancer functional status, worst survival outcomes, low metabolic level, high infiltration of immunosuppressive cells, high copy number variations (CNV), and low tumor mutational burden (TMB). The cluster 2 is characterized by low levels of tumor progression-related cancer functional status, favorable prognosis, moderate metabolic level, low immune cell infiltration, high CNV, and moderate TMB. Then, the cluster 3 is characterized by the high level of all cancer functional status, high metabolic level, low CNV, high TMB, high infiltration of immune cells with high cytotoxicity, and better response to immunotherapy. We also established a prognostic model based on cancer functional status and validated its robustness.

Conclusions

Collectively, our study identified gastric cancer subtypes and provided new insights into the clinical treatment of gastric cancer.

SUBMITTER: Zhou Q 

PROVIDER: S-EPMC9899380 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Cancer functional states-based molecular subtypes of gastric cancer.

Zhou Qi Q   Yuan Yiwu Y   Lu Hao H   Li Xueqin X   Liu Ziyang Z   Gan Jinheng J   Yue Zhenqi Z   Wu Jiping J   Sheng Jie J   Xin Lin L   Xin Lin L  

Journal of translational medicine 20230204 1


<h4>Background</h4>The treatment of gastric cancer remains a challenge.<h4>Methods</h4>We divided gastric cancer into three subtypes based on 14 cancer functional states. We investigated differences between subtypes through multi-omics data, especially at the single-cell level, which allowed us to analyze differences from the perspective of each type of cell rather than the whole.<h4>Results</h4>The cluster 1 is characterized by high levels of tumor progression-related cancer functional status,  ...[more]

Similar Datasets

| PRJNA329144 | ENA
2018-03-20 | GSE84437 | GEO
| S-EPMC8802764 | biostudies-literature
2023-03-18 | GSE147163 | GEO
2018-03-20 | GSE84426 | GEO
2018-03-20 | GSE84433 | GEO
| PRJNA613226 | ENA
| S-EPMC8563741 | biostudies-literature
| S-EPMC5922408 | biostudies-literature
| S-EPMC10140566 | biostudies-literature